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RGM Data Scientist

FrieslandCampina

Are you interested in tackling complex data problems Do you have a passion for applying data science to solve real-world challenges Then we are looking for you!FrieslandCampina's DS Team is looking for a motivated RGM Data Scientist to join our group of data scientists. You will have the opportunity to work on real-world projects and gain experience in developing data science models. You aren't just implementing a model; you are building the 'Commercial Brain' of our retail business.

Job Responsibilities

  • Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM) , translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
  • Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
  • Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
  • Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
  • Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.

Job Requirements

  • Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
  • Develop, deploy, and maintain scalable machine learning models and high-quality Python code, ensuring robust, reliable, and production-ready solutions.
  • Analyse, troubleshoot, and optimize model performance by understanding both code and model behaviour, with a strong focus on explainability and continuous improvement.
  • Collaborate with cross-functional teams to translate business needs into data-driven solutions while contributing to the organisation's purpose of 'Nourishing by Nature.'
  • Leverage at least 6 years of relevant experience in data science, machine learning, or AI to take ownership of end-to-end solution delivery, driving innovation, continuous improvement, and meaningful business impact.
For thousands of people every day, we are more than just a dairy company. To our farmers, our employees, the communities we serve, the businesses we work with and the people to whom we bring happiness, FrieslandCampina means something more. For them it's not just about what we do, but who we are.The Data Science & Machine Learning Team is a dynamic and rapidly growing group within our corporate IT department. Our team comprises of passionate individuals from diverse cultural backgrounds, who are committed to supporting FrieslandCampina's digital transformation and collaborating with all business groups. We value individuals with diverse backgrounds who share a desire to make a meaningful contribution. We empower all employees to make decisions that benefit the entire company, and we trust you to take ownership of your career and make a positive impact. By working at FrieslandCampina, you will be contributing to a better world.We value talented people from any background who want to contribute to something bigger than themselves. We encourage all of our employees to make decisions that benefit our entire company. At FrieslandCampina we own our own career and act accordingly. We trust you to make a difference in your job and influence the bigger picture. Working at FrieslandCampina means you are contributing to a better world.
Vacancy posted 1 day ago
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